06314nam 22006975 450 99646444530331620230329193434.03-030-91434-810.1007/978-3-030-91434-9(CKB)5100000000152508(MiAaPQ)EBC6857950(Au-PeEL)EBL6857950(DE-He213)978-3-030-91434-9(PPN)259384852(EXLCZ)99510000000015250820211203d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComputational Data and Social Networks[electronic resource] 10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings /edited by David Mohaisen, Ruoming Jin1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (392 pages)Theoretical Computer Science and General Issues,2512-2029 ;13116Includes index.3-030-91433-X Combinatorial Optimization and Learning -- Streaming algorithms for maximizing non-submodular functions on the integer lattice -- Causal Inference for Influence Propagation --- Identifiability of the In-dependent Cascade Model -- Streaming algorithms for Budgeted $k$-Submodular Maximization problem -- Approximation algorithms for the lower bounded correlation clustering problem -- Approximation Algorithm for Maximizing Nonnegative Weakly Mono-tonic Set Functions -- Differentially Private Submodular Maximization over Integer Lattice -- Maximizing the sum of a supermodular function and a monotone DR-submodular function subject to a knapsack constraint on the integer lattice -- Deep Learning and Applications to Complex and Social Systems -- A Framework for Accelerating Graph Convolution Networks on Massive Datasets -- AdvEdge: Optimizing Adversarial Perturbations against Interpretable Deep Learning -- Incorporating Transformer Models for Sentiment Analysis and News Classification in Khmer -- Deep Bangla Authorship Attribution using Transformer Models -- A Deep Learning Based Traffic Sign Detection for Intelligent Transportation Systems -- Detecting Hate Speech Contents Using Embedding Models -- MIC Model for Cervical Cancer Risk Factors Deep Association Analysis -- Power Grid Cascading Failure Prediction Based on Transforme -- Measurements of Insight from Data -- Security Breaches in the Healthcare Domain: A Spatiotemporal Analysis -- Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network -- Understanding the Issues Surrounding COVID-19 Vaccine Roll Out Via User Tweets -- Complex Networks Analytics -- Minimize Travel Time with Traffic Flow Density Equilibrium on Road Network -- Network based Framework to Compare Vaccination Strategies -- Groups Influence with Minimum Cost in Social Network -- Recovering communities in temporal networks using persistent edges -- Community Detection using Semilocal Topological Features and Label Propagation Algorithm -- Twitter Analysis of Covid-19 Misinformation in Spain -- Comparing Community-aware Centrality Measures in Online Social Networks -- Two-Tier Cache-Aided Full-Duplex Content Delivery in Satellite-Terrestrial Networks -- Special Track: Fact-Checking, Fake News and Malware Detection in Online Social Networks -- Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations -- The Role of Information Organization and Knowledge Structuring in Combatting Misinformation: A Literary Analysis -- Fake News Detection using LDA Topic Modelling and K-Nearest Neighbor Classifier -- Special Track: Information Spread in Social and Data Networks -- Summarization Algorithms for News: a Study of the Coronavirus Theme and its Impact on the News Extracting Algorithm -- Social cohesion during stay-at-home phase during the first wave of COVID-19 in Poland -- Influence and Activation Thresholds Target Set Selection within Community Structure.This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks. .Theoretical Computer Science and General Issues,2512-2029 ;13116Application softwareNatural language processing (Computer science)Computer networksData miningComputer networks—Security measuresComputer and Information Systems ApplicationsNatural Language Processing (NLP)Computer Communication NetworksData Mining and Knowledge DiscoveryMobile and Network SecurityApplication software.Natural language processing (Computer science).Computer networks.Data mining.Computer networks—Security measures.Computer and Information Systems Applications.Natural Language Processing (NLP).Computer Communication Networks.Data Mining and Knowledge Discovery.Mobile and Network Security.006.754Jin RuomingMohaisen DavidMiAaPQMiAaPQMiAaPQBOOK996464445303316Computational Data and Social Networks2586677UNISA03544nam 22005775 450 991029842930332120251116204434.0981-13-0484-X10.1007/978-981-13-0484-2(PPN)229501257(CKB)4100000005323298(DE-He213)978-981-13-0484-2(MiAaPQ)EBC5471996(EXLCZ)99410000000532329820180720d2018 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierHIV Vaccines and Cure The Path Towards Finding an Effective Cure and Vaccine /edited by Linqi Zhang, Sharon R. LewinSingapore :Springer Singapore :Imprint: Springer,2018.1 online resource (XV, 318 p. 21 illus., 16 illus. in color.)Advances in Experimental Medicine and Biology,0065-2598 ;1075981-13-0483-1 HIV Vaccine Efficacy Trials: RV144 and beyond -- HIV T-cell vaccines -- HIV broadly neutralizing antibodies: VRC01 and beyond -- Structural features of broadly neutralizing antibodies and rational design of vaccine -- Monkey models and HIV vaccine research -- Treatment of HIV for the Prevention of Transmission in Discordant Couples and at the Population Level -- HIV persistence on antiretroviral therapy and barriers to a cure -- The molecular biology of HIV latency -- Cellular determinants of HIV persistence on antiretroviral therapy -- In Vitro and In Vivo Models of HIV Latency -- Measuring HIV persistence on antiretroviral therapy -- Clinical interventions in HIV cure research.This book provides a comprehensive review of the major barriers to HIV cure and vaccine. It covers the fundamental virology and immunology leading to HIV transmission, protection from infection and long term HIV persistence on antiretroviral therapy. In addition, strategies being tested to eliminate persistent HIV and the rational design of vaccines to induce protective immunity are covered. This book also discusses the challenges related to the design of clinical trials for testing the safety and efficacy of these innovative approaches. This book will provide a systematic overview and also discuss controversial issues for researchers in virology and immunology, as well as practicing physicians, and scientists in the pharmaceutical industry.Advances in Experimental Medicine and Biology,0065-2598 ;1075Medical virologyVaccinesImmunologyLaboratory animalsVirologyhttp://scigraph.springernature.com/things/product-market-codes/B22003Vaccinehttp://scigraph.springernature.com/things/product-market-codes/B16010Immunologyhttp://scigraph.springernature.com/things/product-market-codes/B14000Animal Modelshttp://scigraph.springernature.com/things/product-market-codes/L25050Medical virology.Vaccines.Immunology.Laboratory animals.Virology.Vaccine.Immunology.Animal Models.616.9101Zhang Linqiedthttp://id.loc.gov/vocabulary/relators/edtLewin Sharonedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910298429303321HIV Vaccines and Cure2505679UNINA